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Spss 27.0 for mac

Manufactured by IBM
Sourced in France, United Kingdom, United States

SPSS 27.0 for Mac is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data manipulation, statistical modeling, and visualization. The software is designed to run on macOS operating systems.

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Lab products found in correlation

9 protocols using spss 27.0 for mac

1

Physiological Correlates of Asphyxia

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SV/CO data was analyzed post-hoc by exporting cvs.-files generated by the PhysioFlow® software (Manatec Biomedical, Folschviller, France) to SPSS 27.0 for Mac (IBM Corporation, Armonk, NY). SV and CO were corrected for body surface area, yielding SV index (SVI) and CI that were used in the analyses. Descriptive statistics are reported as median with interquartile range (IQR). Pearson correlation coefficient (r) was calculated for CI and SVI measured by PhysioFlow®, and HR, mean arterial BP and blood lactate as indirect measures of systemic perfusion. We analyzed pooled data from all piglets 30 min from initiation of asphyxia.
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2

Prognostic Role of Systemic Inflammation Index

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To summarize data, median with interquartile range (IQR) or mean with standard deviationand percentages were used for continuous and categorical variables, respectively. The independent sample t-test or Mann–Whitney Uand chi-squaretests were performed to compare continuous and categorical variables, respectively. Survival curves were estimated using the Kaplan–Meier method, and the differences between groups were analyzed by using thelog-rank test. Cox proportional hazards regression model was used for multivariable analyses of parameters associated with OS and PFS.OS was calculated from the initial date of TKIs to death.PFS was calculated from the initial date of TKIsto disease progression or death. Hazard ratio (HR) and 95% confidence interval (CI) were used to describe the risk factors.Harrell’s concordance index (C-index) was calculated to compare the predictive value of SII and the IMDC risk scores for OS and PFS. Differences were considered significant if the p-value was less than 0.05.All statistical analyses were performed using the SPSS 27.0 for Mac (IBM Corp., Armonk, NY).
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3

Survival Analysis of Cancer Outcomes

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To summarize the data, mean ± standard deviation or median with interquartile range (IQR) and percentages were used for continuous and categorical variables, respectively. Independent samples t-test or Mann–Whitney U test and Chi-square or Fisher's exact test were also performed to compare the means or medians and frequencies, respectively. Kaplan–Meier method was used to estimate survival. Univariate and multivariate survival analyses were done with the log-rank test and Cox proportional hazards regression model. A p-value of less than 0.05 was accepted as statistically significant. We used SPSS 27.0 for Mac (IBM Corp., Armonk, New York) and R Studio (version 1.4.1106) for all statistical analyses.
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4

Analyzing Dietary Behaviors and Nutritional Status

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The data were analyzed using SPSS 27.0 for Mac (IBM Corp., Armonk, NY, USA). Descriptive statistics were computed for all variables. For food insecurity and social activity, nutrition status and dietary life, dietary behaviors, frequencies and percentages were calculated by χ2 test or Fisher’s exact test. An independent t-test was performed to compare the nutritional quotient values by gender. All statistical analyses were performed with a significance level of p < 0.05.
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5

Survival Analysis of PPI Usage

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For descriptive analyses, median with interquartile range (IQR) for normally distributed continuous variables, mean standard deviation for non-normally distributed continuous variables, and percentages for categorical variables were used. Mann-Whitney U and independent samples t-tests were used to compare two groups for non-normally and normally distributed continuous variables. Chi-square or Fisher's exact test was used to compare categorical variables. Kaplan-Meier estimates were used to calculate OS and PFS. To exclude immortal time bias, we compared PPI non-user patients with all patients. A log-rank test was used to compare survival curves. Cox's proportional hazard regression model was constructed by using variables with a p-value of less than 0.2 in univariable analysis. A pvalue of less than 0.05 was considered statistically signi cant. SPSS 27.0 for Mac (IBM Corp., Armonk, NY) and RStudio were used for all statistical analyses.
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6

Prognostic Value of Systemic Inflammation Index

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Descriptive analyses were presented using mean ± standard deviation or median with interquartile range (IQR) for continuous variables and percentages for categorical variables. Independent samples t-test or Mann-Whitney U test for continuous variables and chi-square or Fisher's exact test for categorical variables were performed to compare the variables. Univariable and multivariable survival analyses were performed with the log-rank test and Cox proportional hazards regression model. Kaplan-Meier survival estimates were also calculated. A p-value of less than 0.05 was considered to show a statistically signi cant result. ROC analysis was performed to determine the best cut-off value for SII. We used SPSS 27.0 for Mac (IBM Corp., Armonk, NY) for all statistical analyses.
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7

Traumatic Brain Injury Behavioral Outcomes

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All statistics were carried out in SPSS 27.0 for Mac. Within-subjects 2-way repeated measures analysis of variance (ANOVAs) were run for all behavioral tests, with injury (sham: injured) and sex (male: female) as factors, accounting for timepoint (acute: chronic). When Mauchley’s test indicated sphericity was violated, Greenhouse–Geisser corrections were performed. When necessary, post-hoc pairwise comparisons (Tukey) were completed. Statistical significance was considered at P < 0.05. All data can be obtained at the opensource framework repository—https://osf.io/zs8vk/?view_only=8543f146cb2a4a2292c081218a0a106.
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8

Comparative Analysis of Remitted TBI

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Power calculations were completed with G∗Power software (version 3.1). Based upon Cohen’s (1988) criteria98 and a moderate effect size of 0.40, alpha of 0.05, a power of 0.80, the estimated sample size needed for four-way ANOVAs was N = 131; indicating we were adequately powered with a sample of 172. Therefore, four-way ANOVAs with age, (adolescent; adult), sex (male; female), injury (RmTBI; sham), and treatment (antibiotics; placebo), as factors were run for all behavioral and immunohistochemical measures, except PNN and PV cell counts. For PNN and PV cell counts, three-way ANOVAs were run separately for adults and adolescents with sex (male; female), injury (RmTBI; sham), and treatment (antibiotics; placebo), as factors. All analyses were conducted using SPSS 27.0 for MAC. Post-hoc Bonferroni pairwise comparisons were run when appropriate. All figures are displayed as means ± standard error and statistical significance was considered p < .05.
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9

Sexting and Psychosocial Health: A Multilevel Analysis

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Preliminary analyses were carried out in SPSS 27.0 for Mac [31 ] to examine variable means, standard deviations, frequencies, and Pearson correlations. The intraclass correlation (ICC) in this study ranged from 0.006 to 0.036. To account for school-level ICC, a multilevel multivariate regression analysis was performed in Mplus 8.5 [32 ] to examine the associations between sexting and psychosocial health, controlling for age, gender, race, and exposure to the intervention. The robust maximum likelihood estimation method was used. Missing data were treated with full information maximum likelihood [33 ].
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